Granules for learning behavior
This chapter presents an innovative approach to discover granular learning behavior patterns of students learning interactions with an intelligent tutoring system (ITS). The approach is domain independent and able to manage learning behavior uncertainty. An N-gram analysis is used to model the learn...
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th-mahidol.316032018-10-19T11:50:48Z Granules for learning behavior Sumalee Sonamthiang Kanlaya Naruedomkul Nick Cercone Ubon Rajathanee University Mahidol University York University Computer Science This chapter presents an innovative approach to discover granular learning behavior patterns of students learning interactions with an intelligent tutoring system (ITS). The approach is domain independent and able to manage learning behavior uncertainty. An N-gram analysis is used to model the learning behavior from the learning action streams to obtain regular and irregular learning behavior patterns. Then, the N-gram models are clustered into a hierarchy using a rough set-based map granule. The hierarchical pattern can be used to improve the domain knowledge of an ITS in predicting student's actions, sequencing problems to be solved, and adjusting hint mechanisms. © 2013 The authors and IOS Press. All rights reserved. 2018-10-19T04:50:48Z 2018-10-19T04:50:48Z 2013-12-01 Article Frontiers in Artificial Intelligence and Applications. Vol.253, (2013), 191-204 10.3233/978-1-61499-258-5-191 09226389 2-s2.0-84894583104 https://repository.li.mahidol.ac.th/handle/123456789/31603 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84894583104&origin=inward |
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Computer Science |
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Computer Science Sumalee Sonamthiang Kanlaya Naruedomkul Nick Cercone Granules for learning behavior |
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This chapter presents an innovative approach to discover granular learning behavior patterns of students learning interactions with an intelligent tutoring system (ITS). The approach is domain independent and able to manage learning behavior uncertainty. An N-gram analysis is used to model the learning behavior from the learning action streams to obtain regular and irregular learning behavior patterns. Then, the N-gram models are clustered into a hierarchy using a rough set-based map granule. The hierarchical pattern can be used to improve the domain knowledge of an ITS in predicting student's actions, sequencing problems to be solved, and adjusting hint mechanisms. © 2013 The authors and IOS Press. All rights reserved. |
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Ubon Rajathanee University |
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Ubon Rajathanee University Sumalee Sonamthiang Kanlaya Naruedomkul Nick Cercone |
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Article |
| author |
Sumalee Sonamthiang Kanlaya Naruedomkul Nick Cercone |
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Sumalee Sonamthiang |
| title |
Granules for learning behavior |
| title_short |
Granules for learning behavior |
| title_full |
Granules for learning behavior |
| title_fullStr |
Granules for learning behavior |
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Granules for learning behavior |
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granules for learning behavior |
| publishDate |
2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/31603 |
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1763490738244419584 |